An Improved YOLOv8 Algorithm for Rail Surface Defect Detection

An Improved YOLOv8 Algorithm for Rail Surface Defect Detection

To tackle the issues raised by detecting small targets and densely occluded targets in railroad track surface defect detection, we present an algorithm for detecting defects on railroad tracks based on the YOLOv8 model. Firstly, we enhance the model’s attention towards small and medium-si...

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Bibliographic Details
Main Authors: Yan Wang, Kehua Zhang, Ling Wang, Lintong Wu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Rail defects detection
deep learning
YOLOv8
convolution module
attention mechanism
loss function
Online Access:https://ieeexplore.ieee.org/document/10477344/

Internet

https://ieeexplore.ieee.org/document/10477344/

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